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. 2020 Jan 10;2(1):fcaa001. doi: 10.1093/braincomms/fcaa001

Table 2.

Statistical details of time course of global graph measures

Joint model
Ipsilesional
Contralesional
Estimate SE P Estimate SE P Estimate SE P
Efficiency a 7.024 0.030 1.29e-238 7.008 0.032 3.82e-114 7.039 0.035 4.97e-111
b 1.094 1.114 0.3272 1.092 1.072 0.3117 1.096 1.913 0.5683
Δ −0.017 0.021 0.4101 −0.050 0.019 0.0110 −0.031 0.021 0.1465
Δipsi −0.047 0.020 0.0215
Modularity a 0.021 0.001 1.64e-34 0.021 0.002 1.11e-23 0.021 0.002 1.13e-20
b 0.997 0.595 0.0952 0.996 0.536 0.0668 0.998 0.956 0.2994
Δ 0.003 0.001 0.0045 0.005 0.001 1.04e-05 0.003 0.001 0.0098
Δipsi 0.002 0.001 0.0663

Point estimates, standard errors and P-values of model parameters obtained from fitting the exponential model (1) to temporal profiles of intra-hemispheric global graph parameters. In the joint model, the parameter of topological change, Δ, was allowed to vary between stroke and intact hemispheres. Standard errors and P-values result from non-linear mixed-effects regressions fit either jointly (‘joint model’) or separately for stroke (‘ipsilesional’) and intact (‘contralesional’) hemispheres, using the R package nlme. P-values of Δ (separate) and Δipsi (joint) of less than 0.05 are marked in bold.

SE = standard error.